Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore
Amazon Bedrock adds temporal policies and cost ceilings for agents—deterministic control beyond single actions.
Why it matters
Agent reliability and cost management are moving from reactive guardrails to proactive policy enforcement. Multi-action behavioral control and hard cost limits are infrastructure-layer features that practitioners deploying agents at scale will need to evaluate and adopt.
The key facts
10 to knowTemporal policies powered by Dogwood (new open-source policy language for AI agents)
Rate limiting on gateway for cost ceiling enforcement
Deterministic control over sequences of agent actions
Cost controls that hold regardless of agent behavior
Amazon Bedrock AgentCore feature release
Amazon Bedrock AgentCore launches temporal policies via Dogwood open-source policy language
Rate limiting on gateway enforces cost ceilings independent of agent behavior
Deterministic control over sequences of agent actions (not just single actions)
Addresses multi-step agent reliability and cost control — production-grade constraints
Dogwood is open source
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of…